计算机工程与应用2009，Vol.45Issue(21)：139-141,3.DOI:10.3778/j.issn.1002-8331.2009.21.041
基于半监督学习的眉毛图像分割方法
Eyebrow image segmentation based on semi-supervised learning
摘要
Abstract
Eyebrow image segmentation is a very difficult problem due to the influence of hair,posture and individual eyebrow difference.This paper proposes a semi-supervised learning method to segment colorized eyebrow image.The method first labels a number of eyebrow and non-eyebrow points by manually drawing several simple lines on eyebrow image,and then uses a semi-supervised learning technique to segment and extract pure eyebrow part.Experiments show that it can achieve a very good seg-mentation and can be used to preprocess eyebrow image before recognition.关键词
半监督学习/图像分割/眉毛识别/特征提取Key words
semi-supervised/image segmentation/eyebrow recognition/feature extraction分类
信息技术与安全科学引用本文复制引用
张晨光,李玉鑑..基于半监督学习的眉毛图像分割方法[J].计算机工程与应用,2009,45(21):139-141,3.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60775010). （the National Natural Science Foundation of China under Grant No.60775010）
